Palo Alto Networks
Sr. Product Manager (Device Security)
$153K–$248K
Santa Clara, United States of America +2 · No · Manager · Full-time · Posted Oct 16, 2026
- Location
- Santa Clara, United States of America
San Francisco, United States of America
San Jose, United States of America - Experience
- 7+ years in cybersecurity, with at least 4 years in Product Management.
- Education
- BS/MS in Computer Science, Engineering, or a related technical or business discipline—or equivalent practical experience.
- Visa sponsorship
- Will not sponsor applicants for work visas.
About the job
Own the strategy, roadmap, and delivery of an AI-first Device Security solution that discovers, assesses, and protects managed, unmanaged, and IoT/OT devices.
What you'll do
- Define product strategy and requirements, prioritize roadmap initiatives, and lead cross-functional delivery from concept to launch.
- Own agentic security roadmap areas and translate autonomous AI capabilities into trustworthy product experiences.
- Lead customer validation, go-to-market readiness, product evangelism, and adoption measurement.
What they ask for
- 7+ years in cybersecurity in a listed domain, including at least 4 years in Product Management in a B2B SaaS or security platform environment.
- BS/MS in Computer Science, Engineering, or a related technical or business discipline—or equivalent practical experience.
- Experience defining third-party integration strategy and delivering scalable API frameworks with engineering.
- Ability to write requirements for agentic AI features and evaluate architecture tradeoffs with engineering.
Nice to have
- Industry familiarity in Healthcare, Manufacturing, Transportation, BMS, or Utilities; OEM experience.
- Experience with CTEM, CAASM, or ASPM platforms.
Pay
$153,000.00 - $247,500.00/yr USD base salary
Tools
NGFW, NAC, EDR, CTEM, CAASM, ASPM, CVSS, EPSS
AI focus
Own an agentic security roadmap, define autonomous actions and AI-driven remediation, and deliver AI-first device discovery, LLM enrichment, and risk-scoring capabilities. The posting also asks for practical use of LLMs, prompt engineering, AI-assisted analysis, ML knowledge, and agentic AI fluency.
Model-written summary · the original posting is authoritative